
Data Engineering Team Lead
1 day ago
As a Lead Data Engineer, you will play a crucial part in an agile team focused on developing trusted and market-leading technology products. Your expertise and problem-solving skills will drive significant business impact as you tackle diverse challenges across multiple technologies and applications.
This is a leadership role that requires technical guidance and support to the business, technical teams, contractors, and vendors. You will be responsible for developing, reviewing, and debugging secure, high-quality production code. Additionally, you will influence product design, application functionality, and technical operations.
You will serve as a subject matter expert in specific technical areas and contribute to the engineering community by promoting firmwide frameworks, tools, and SDLC practices. This includes encouraging the adoption of leading-edge technologies among peers and decision-makers.
In this role, you will also promote a culture of diversity, equity, inclusion, and respect within the team.
Key Responsibilities:- Provide technical guidance and support to the business, technical teams, contractors, and vendors.
- Develop, review, and debug secure, high-quality production code.
- Influence product design, application functionality, and technical operations.
- Serve as a subject matter expert in specific technical areas.
- Contribute to the engineering community by promoting firmwide frameworks, tools, and SDLC practices.
- Encourage the adoption of leading-edge technologies among peers and decision-makers.
- Promote a culture of diversity, equity, inclusion, and respect within the team.
- Formal training or certification in Data Engineering with 5+ years of practical experience.
- Hands-on experience with Big Data, large volume data transfer analysis.
- Proficiency with Spark, Iceberg, Parquet.
- Experience with cloud platforms like AWS and container technologies such as Kubernetes and Docker.
- In-depth knowledge of software applications and technical processes in at least one technical discipline (e.g., cloud, AI, ML).
- Ability to independently solve design and functionality problems with minimal oversight.
- Practical experience with cloud-native development.
- Degree in Computer Science, Computer Engineering, Mathematics, or related fields.
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